RECOMMENDATIONS BASED ON CROSS-SITE BROWSING ACTIVITIES OF USERS

• US 20080250026A1
• Filed: 03/03/2008
• Published: 10/09/2008
• Est. Priority Date: 10/24/2001
• Status: Abandoned Application

• Current Assignee: Brent R. Smith, Gregory D. Linden, Groffrey B. Mack, Jonathan O. Aizen, Nida K. Zada
• Original Assignee: Brent R. Smith, Gregory D. Linden, Groffrey B. Mack, Jonathan O. Aizen, Nida K. Zada
• Inventors: Smith, Brent R., Linden, Gregory D., Zada, Nida K., Mack, Groffrey B., Aizen, Jonathan O.
• Application Number:
  US12/041,498
• Publication Number:
  US 20080250026A1
• Time in Patent Office: Days
• US Class Current: 707/10
• CPC Class Codes: G06F 16/904 Browsing; Visualisation therefor for navigating the web G06F16/954; browsing optimisation for the web G06F16/957
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A system provides recommendations of web sites, web pages, and/or products to a user based on web pages viewed during a current browsing session. In one embodiment, a browser plug-in or other client program monitors and reports information regarding browsing activities of users across multiple web sites. The resulting cross-site browse histories of the users are analyzed on an aggregated basis to detect behavior-based associations between particular sites, pages and/or products. The detected associations are in turn used to provide personalized recommendations to users. The associations and recommendations may also be based on an automated analysis of the content of the web pages represented in the users'"'"' browse histories.

Claims

1-14. -14. (canceled)

15. A computer-implemented method of selecting products to recommend to users, the method comprising:

receiving, over a network from a user computing device, identifiers of a plurality of web pages accessed by the user computing device across a plurality of web sites, said plurality of web pages including at least a first web page of a first web site and a second web page of a second web site,

identifying a plurality of products represented on one or more of said plurality of web pages, wherein the plurality of products are identified based at least partly on a content-based analysis of the web pages, said content-based analysis performed by automatically retrieving and analyzing content of the web pages; and

selecting additional products to recommend to a user of the user computing device based at least partly on the identified plurality of products.

16. The method of claim 15, wherein identifying the plurality of products comprises accessing a pre-generated database that associates particular web pages with particular products, said pre-generated database reflecting results of an automated content-based analysis of retrieved web pages

17. The method of claim 15, wherein identifying the plurality of products comprises automatically searching the plurality of web pages for product identifiers.

18. The method of claim 15, wherein the method is performed in it'"'"'s entirely during a browsing session of the user to generate session-specific product recommendations for the user.

19. The method of claim 18, wherein the method comprises retrieving and performing said content-based analysis of at least some of the web pages during said browsing session.

20. The method of claim 15, wherein the method is performed by a recommendation system that is separate from each of said plurality of web sites.

21. The method of claim 15, wherein the plurality of products are identified based additionally on a database of user-supplied data that associates particular web pages with particular products.

22. The method of claim 15, wherein the identifiers of the plurality of web pages are transmitted over the network as a result of execution of program code by the user computing device.

23. The method of claim 22, wherein the method comprises identifying a sequence of products viewed by the user across said plurality of web sites, and using said sequence of products, in combination with sequences of products viewed by other users, to measure degrees to which particular products are related to each other.

24. The method of claim 23, further comprising using data regarding said degrees to which particular products are related as an information source for providing personalized product recommendations to users.

25. The method of claim 15, wherein identifying said plurality of products comprises identifying a first product viewed by the user on a first web site and identifying a second product viewed by the user on a second web site.

26. A system, comprising:

a client component that runs on user computing devices of users, and causes said user computing devices to transmit clickstream data over a network, said clickstream data reflective of browsing activities of the users across a plurality of web sites, and including URLs of web pages and web sites accessed by the users;

a data repository that accumulates the clickstream data received from the user computing devices; and

a computer system operative to use the clickstream data accumulated for a user to identify a plurality of products viewed by the user across multiple web sites, and to select, based on said plurality of products, additional products to recommend to the user, wherein the computer system identifies the products viewed by the user at least partly by retrieving and analyzing web pages represented in the clickstream data.

27. The system of claim 26, wherein the computer system is operative to identify products represented on particular web pages at least partly be searching for product identifiers in content of said web pages.

28. The system of claim 26, wherein the computer system is operative to provide session-specific product recommendations to the user based on products viewed by the user across multiple web sites during a current browsing session.

29. The system of claim 26, wherein the computer system is additionally operative to use the accumulated clickstream data of a plurality of users to identify sequences of products viewed by said users across the plurality of web sites, and to collectively analyze the sequences of products to measure behavior-based relationships between particular products.

30. The system of claim 29, wherein the computer system is additionally operative to use data regarding the measured behavior-based relationships to provide product recommendations to users.

31. The system of claim 26, wherein the computer system is operative to generate, based on analyses of retrieved web pages, a database that associates particular web pages with particular products represented on said web pages, and to use the database, in combination with clickstream data for the user, to identify products viewed by the user.

32. The system of claim 26, wherein the client component is a browser plug-in component.

33. The system of claim 26, wherein the computer system is operative to select a product to recommend to the user based at least in part on a degree to which the product is related to each of the plurality of products viewed by the user.